Coating mechanism of AuNPs onto sepiolite by experimental research and MD simulation

Deniz Karatas, Dilek Senol Arslan, Ilgin Kursun Unver, Orhan Ozdemir*

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Dergiye katkıMakalebilirkişi

7 Atıf (Scopus)

Özet

The amenability of gold nanoparticles (AuNPs) coating on natural and modified (hexadecyl trimethyl ammonium bromide, CTAB) sepiolite surfaces was studied both experimentally and theoretically. The zeta potential experiments and Fourier transform infrared spectrophotometer (FTIR), environmental scanning electron microscope (ESEM), and transmission electron microscopy (TEM) analyses were carried out with the sepiolite samples in the presence of AuNPs. In addition, the adsorption of three gold-nanoparticles on the sepiolite surface (100) in the absence and presence of CTAB was investigated by molecular dynamics (MD) simulations. The AuNPs showed no significant change in the zeta potential of natural sepiolite surfaces due to negative charges of both the sepiolite and AuNPs at natural pH. The surface charge of modified sepiolite decreased with the increase in AuNPs concentration indicating the significance AuNPs adsorption. FTIR, ESEM, and TEM analyses indicated the coating of AuNPs onto the modified sepiolite surface were higher than that of the natural sepiolite surface. The MD simulation results showed that AuNPs can easily adsorb onto the basal surface of the sepiolite due to its hydrophilicity in the presence and absence of CTAB as indicated in the experimental studies. In short, the modification of sepiolite with CTAB made the charge positive, and in turn considerably increased the AuNPs coating on sepiolite surfaces due to electrostatic attraction.

Orijinal dilİngilizce
Makale numarası785
DergiCoatings
Hacim9
Basın numarası12
DOI'lar
Yayın durumuYayınlandı - 2019
Harici olarak yayınlandıEvet

Bibliyografik not

Publisher Copyright:
© 2019 by the authors.

Finansman

This research received no external funding. This work was supported by Scientific Research Projects Coordination Unit of Istanbul University-Cerrahpasa, Project number 42265. Computing resources for computational studies used in this work were provided by the National Centre for High Performance Computing of Turkey (UYBHM) under grant number 5003682015. Acknowledgments: This work was supported by Scientific Research Projects Coordination Unit of Istanbul University-Cerrahpasa, Project number 42265. Computing resources for computational studies used in this work were provided by the National Centre for High Performance Computing of Turkey (UYBHM) under grant number 5003682015.

FinansörlerFinansör numarası
Istanbul University-Cerrahpasa42265
National Centre for High Performance Computing of Turkey
Scientific Research Projects Coordination Unit of Istanbul University-Cerrahpasa
UYBHM5003682015

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